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Full-Text Articles in Computer Engineering
Evolving Predator Control Programs For An Actual Hexapod Robot Predator, Gary Parker, Basar Gulcu
Evolving Predator Control Programs For An Actual Hexapod Robot Predator, Gary Parker, Basar Gulcu
Computer Science Faculty Publications
In the development of autonomous robots, control program learning systems are important since they allow the robots to adapt to changes in their surroundings. Evolutionary Computation (EC) is a method that is used widely in learning systems. In previous research, we used a Cyclic Genetic Algorithm (CGA), a form of EC, to evolve a simulated predator robot to test the effectiveness of a learning system in the predator/prey problem. The learned control program performed search, chase, and capture behavior using 64 sensor states relative to the nearest obstacle and the target, a simulated prey robot. In this paper, we present …
Fitness Biasing For The Box Pushing Task, Gary Parker, Jim O'Connor
Fitness Biasing For The Box Pushing Task, Gary Parker, Jim O'Connor
Computer Science Faculty Publications
Anytime Learning with Fitness Biasing has been shown in previous works to be an effective tool for evolving hexapod gaits. In this paper, we present the use of Anytime Learning with Fitness Biasing to evolve the controller for a robot learning the box pushing task. The robot that was built for this task, was measured to create an accurate model. The model was used in simulation to test the effectiveness of Anytime Learning with Fitness Biasing for the box pushing task. This work is the first step in new research where an automated system to test the viability of Fitness …